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Integrated surveillance system for decision-making in oil production scenarios.

Authors :
Ballina, Jazael
Hamdi, Zakaria
Hamdan, Victor
Source :
AIP Conference Proceedings. 2023, Vol. 2983 Issue 1, p1-8. 8p.
Publication Year :
2023

Abstract

Numerous reservoir engineering, production engineering, and project management tasks require data to be selectively compiled, organized, cleaned and put in a database on a proper basis. In many oil companies, much of this data still resides on the older corporate mainframe systems often with inconsistent key field formats and clumsy sort options. In response to the advancement of the internet of things and data analytics, for the first time, this paper presents an innovative methodology to integrate operational data, production data, and surveillance information into a consistent database to use in conjunction with Oil Field Manager (OFM) Software from Schlumberger. The strategy of this approach is to provide technology, data management, rapid monitoring, and the use of a tool to work as a key decision-maker for future evaluations. The solution is delivered through a unified platform where daily operational datasheets with a big amount of data of surface and subsurface data will be organized, collected, cleaned, and processed to be transmitted to the main database and transferred to the main software for analysis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2983
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
173433888
Full Text :
https://doi.org/10.1063/5.0178618